A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles
Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …
Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
N Guo, X Zhang, Y Zou, L Guo, G Du - Energy, 2021 - Elsevier
This paper proposes a real-time predictive energy management strategy (PEMS) of plug-in
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
[HTML][HTML] Optimized energy management schemes for electric vehicle applications: A bibliometric analysis towards future trends
Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted
researchers to look into alternative energy sources, notably in the transportation sector …
researchers to look into alternative energy sources, notably in the transportation sector …
A supervisory control strategy of distributed drive electric vehicles for coordinating handling, lateral stability, and energy efficiency
A supervisory control strategy, including dynamic control supervisor, handling-stability
controller, energy efficiency controller, and coordinated torque allocator, is proposed for …
controller, energy efficiency controller, and coordinated torque allocator, is proposed for …
Predictive energy management of plug-in hybrid electric vehicles by real-time optimization and data-driven calibration
N Guo, X Zhang, Y Zou, G Du… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes a predictive energy management strategy of plug-in hybrid electric
vehicles by real-time optimization and data-driven calibration. The powertrain modelling and …
vehicles by real-time optimization and data-driven calibration. The powertrain modelling and …
A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization
State of health is one of the most critical parameters to characterize inner status of lithium-
ion batteries in electric vehicles. In this study, a uniform estimation framework is proposed to …
ion batteries in electric vehicles. In this study, a uniform estimation framework is proposed to …
A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks
Online optimal energy management of plug-in hybrid electric vehicles has been continually
investigated for better fuel economy. This paper proposed a predictive energy management …
investigated for better fuel economy. This paper proposed a predictive energy management …
Bi-level energy management of plug-in hybrid electric vehicles for fuel economy and battery lifetime with intelligent state-of-charge reference
X Zhang, L Guo, N Guo, Y Zou, G Du - Journal of Power Sources, 2021 - Elsevier
This paper proposes a bi-level energy management strategy of plug-in hybrid electric
vehicles with intelligent state-of-charge (SOC) reference for satisfactory fuel economy and …
vehicles with intelligent state-of-charge (SOC) reference for satisfactory fuel economy and …
Novel energy management strategy for a dual-motor hybrid electric vehicle considering frequency of mode transitions
F Wang, J Xia, Y Cai, J Guo - Energy Conversion and Management, 2022 - Elsevier
The plug-in hybrid electric vehicles (PHEV) can alter powertrain operating mode in different
driving conditions, its energy management strategy (EMS) is priority issue to be considered …
driving conditions, its energy management strategy (EMS) is priority issue to be considered …
Cost-optimal energy management strategy for plug-in hybrid electric vehicles with variable horizon speed prediction and adaptive state-of-charge reference
L Guo, X Zhang, Y Zou, N Guo, J Li, G Du - Energy, 2021 - Elsevier
In this paper, an energy management strategy (EMS) based on model predictive control
(MPC) is proposed to minimize fuel cost, electricity usage and battery ageing. To fulfil the …
(MPC) is proposed to minimize fuel cost, electricity usage and battery ageing. To fulfil the …